wassname/scikit-image
1
0
Fork 0
mirror of https://github.com/wassname/scikit-image.git synced 2026-07-02 19:56:57 +08:00
Code Issues Packages Projects Releases Wiki Activity

Change default weight for denoise_tv_chambolle to a value that is reasonable for float images scaled to the [0, 1] range

Browse Source
This commit is contained in:
Gregory R. Lee
2015-12-23 12:29:37 -05:00
parent d6105a0fe4
commit f143f4b39e
1 changed files with 4 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files
skimage/restoration/_denoise.py
+4 -4
View File
@@ -31,7 +31,7 @@ def denoise_bilateral(image, win_size=5, sigma_range=None, sigma_spatial=1,
similarity). A larger value results in averaging of pixels with larger
radiometric differences. Note, that the image will be converted using
the `img_as_float` function and thus the standard deviation is in
respect to the range ``[0, 1]``. If the value is ``None`` the standard
respect to the range ``[0, 1]``. If the value is ``None`` the standard
deviation of the ``image`` will be used.
sigma_spatial : float
Standard deviation for range distance. A larger value results in
@@ -116,7 +116,7 @@ def denoise_tv_bregman(image, weight, max_iter=100, eps=1e-3, isotropic=True):
return _denoise_tv_bregman(image, weight, max_iter, eps, isotropic)
def _denoise_tv_chambolle_3d(im, weight=100, eps=2.e-4, n_iter_max=200):
def _denoise_tv_chambolle_3d(im, weight=0.2, eps=2.e-4, n_iter_max=200):
"""Perform total-variation denoising on 3D images.
Parameters
@@ -189,7 +189,7 @@ def _denoise_tv_chambolle_3d(im, weight=100, eps=2.e-4, n_iter_max=200):
return out
def _denoise_tv_chambolle_2d(im, weight=50, eps=2.e-4, n_iter_max=200):
def _denoise_tv_chambolle_2d(im, weight=0.2, eps=2.e-4, n_iter_max=200):
"""Perform total-variation denoising on 2D images.
Parameters
@@ -265,7 +265,7 @@ def _denoise_tv_chambolle_2d(im, weight=50, eps=2.e-4, n_iter_max=200):
return out
def denoise_tv_chambolle(im, weight=50, eps=2.e-4, n_iter_max=200,
def denoise_tv_chambolle(im, weight=0.2, eps=2.e-4, n_iter_max=200,
multichannel=False):
"""Perform total-variation denoising on 2D and 3D images.